--- title: "openyak vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openyak-openyak-vs-pguso-agents-from-scratch" tools: ["openyak-openyak", "pguso-agents-from-scratch"] --- # openyak vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick openyak if openyak is an open-source AI agent designed for desktop work that emphasizes local deployment and privacy, integrating with various large language models; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. [openyak](https://open-yak.com/) reports 708 GitHub stars, 61 forks, and 9 open issues, last pushed Sep 5, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 1.0k stars, 251 forks, and 4 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [openyak's repository](https://github.com/openyak/openyak) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [openyak](/tools/openyak-openyak.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Open-source local-first AI agent for desktop work | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 708 | 1,017 | | Forks | 61 | 251 | | Open issues | 9 | 4 | | Language | TypeScript | Python | | Adopt for | Openyak is an open-source AI agent designed for desktop work that emphasizes local deployment and privacy, integrating with various large language models. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openyak](/tools/openyak-openyak.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 15d | 56d | | Open issues (now) | 9 | 4 | | Stars delta | +4 (30d) | +63 (30d) | | Open issues delta | -21 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/openyak-openyak/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Decision facts: openyak - **Adopt for:** Openyak is an open-source AI agent designed for desktop work that emphasizes local deployment and privacy, integrating with various large language models. ## Decision facts: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose openyak if… - openyak is primarily TypeScript; agents-from-scratch is Python. - License: openyak is Apache-2.0, agents-from-scratch is MIT. - Tags unique to openyak: code-assistant, desktop-agent, open-source. - When you need coding assistance from an AI on your desktop without relying on cloud services ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; openyak is TypeScript. - License: agents-from-scratch is MIT, openyak is Apache-2.0. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, no-framework. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## When NOT to use openyak - Avoid if you have high computational demands that cannot be met by local resources such as limited GPU power ## When NOT to use agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between openyak and agents-from-scratch? openyak: Open-source local-first AI agent for desktop work. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose openyak over agents-from-scratch? Choose openyak over agents-from-scratch when openyak is primarily TypeScript; agents-from-scratch is Python; License: openyak is Apache-2.0, agents-from-scratch is MIT; Tags unique to openyak: code-assistant, desktop-agent, open-source; When you need coding assistance from an AI on your desktop without relying on cloud services. ### When should I choose agents-from-scratch over openyak? Choose agents-from-scratch over openyak when agents-from-scratch is primarily Python; openyak is TypeScript; License: agents-from-scratch is MIT, openyak is Apache-2.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, no-framework; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### When should I avoid openyak? Avoid if you have high computational demands that cannot be met by local resources such as limited GPU power ### When should I avoid agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is openyak or agents-from-scratch more popular on GitHub? agents-from-scratch has more GitHub stars (1,017 vs 708). Stars measure visibility, not whether either tool fits your constraints. ### Are openyak and agents-from-scratch open source? Yes - both are open-source projects on GitHub (openyak: Apache-2.0, agents-from-scratch: MIT). ### Where can I find alternatives to openyak or agents-from-scratch? GraphCanon lists graph-backed alternatives at [openyak alternatives](/tools/openyak-openyak/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([openyak markdown twin](/tools/openyak-openyak/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/openyak-openyak-vs-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openyak or agents-from-scratch? openyak: Active. agents-from-scratch: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for openyak and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openyak trust report](/tools/openyak-openyak/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openyak-openyak`](/api/graphcanon/graph?tool=openyak-openyak) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_